1.
Introduction: Strategy is a ‘game plan’ that facilitates a company to attract its customers by showing itself unique from competitors. The main focus of a company’s strategies is “target customers”. A strategy is a long term plan of action that strengthens the performance of the business.
The type of cognitive bias reveals in the mentioned data
2.
Introduction: Strategy is a ‘game plan’ that facilitates a company to attract its customers by showing itself unique from competitors. The main focus of a company’s strategies is “target customers”. A strategy is a long term plan of action that strengthens the performance of the business.
The reason due to which cognitive bias adversely affect manger’s decision.
3.
Introduction: Strategy is a ‘game plan’ that facilitates a company to attract its customers by showing itself unique from competitors. The main focus of a company’s strategies is “target customers”. A strategy is a long term plan of action that strengthens the performance of the business.
The procedure manger can use to adverse influence of cognitive bias
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MANAGERIAL ACCOUNTING F/MGRS.
- In this chapter we showed how a simple random sample of 30 EAI employees can be used to develop point estimates of the population mean annual salary, the population standard deviation for annual salary, and the population proportion having completed the management training program. a. Use Excel to select a simple random sample of 50 EAI employees. b. Develop a point estimate of the mean annual salary. c. Develop a point estimate of the population standard deviation for annual salary. d. Develop a point estimate of the population proportion having completed the management training program.arrow_forwardThe Economic Policy Institute periodically issues reports on wages of entry-level workers. The institute reported that entry-level wages for male college graduates were $21.68 per hour and for female college graduates were $18.80 per hour in 2011. Assume that the standard deviation for male graduates is $2.30, and for female graduates it is $2.05. What is the sampling distribution of for a random sample of 50 male college graduates? What is the sampling distribution of for a random sample of 50 female college graduates? In which of the preceding two cases, part (a) or part (b), is the standard error of smaller? Why?arrow_forwardThe Scholastic Aptitude Test (or SAT) is a standardized college entrance test that is used by colleges and universities as a means for making admission decisions. The critical reading and mathematics components of the SAT are reported on a scale from 200 to 800. Several universities believe these scores are strong predictors of an incoming student’s potential success, and they use these scores as important inputs when making admission decisions on potential freshman. The tile RugglesCollege contains freshman year GPA and the critical reading and mathematics SAT scores for a random sample of 200 students who recently completed their freshman year at Ruggles College. Develop an estimated multiple regression equation that includes critical reading and mathematics SAT scores as independent variables. How much variation in freshman GPA is explained by this model? Test whether each of the regression parameters β0, β1, and β2, is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? Using the multiple linear regression model you developed in part (a), what is the predicted freshman GPA of Bobby Engle, a student who has been admitted to Ruggles College with a 660 SAT score on critical reading and at a 630 SAT score on mathematics? The Ruggles College Director of Admissions believes that the relationship between a student’s scores on the critical reading component of the SAT and the student’s freshman GPA varies with the student’s score on the mathematics component of the SAT. Develop an estimated multiple regression equation that includes critical reading and mathematics SAT scores and their interaction as independent variables. How much variation in freshman GPA is explained by this model? Test whether each of the regression parameters β0, β1, β2, and β3 is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Do these results support the conjecture made by the Ruggles College Director of Admissions? Do you prefer the estimated regression model developed in part (a) or part (c)? Explain. What other factors could be included in the model as independent variables?arrow_forward
- Marivic is interested in the effect of playing puzzle games on academic achievement. She devised a scale that measures how often an individual plays puzzle games such as Sudoku, and uses student GPA has a measure of academic achievement. She finds that the correlation between the two variables is 0.40 and has a regression coefficient of 0.25. What is the percentage of variation in academic achievement accounted for by playing puzzle games?arrow_forwardIndicate whether the items below are used as key performance indicators for the areas Percent of students belonging to the top 30 percentile in national standards tests *(A) Financial(B) Customer(C) Internal Process(D) Learning and Growth performance.arrow_forwardThe mean height of women in a country (ages 20−29) is 63.9 inches. A random sample of 60 women in this age group is selected. What is the probability that the mean height for the sample is greater than 65 inches? Assume σ=2.84. The probability that the mean height for the sample is greater than 65 inches is nothing.arrow_forward
- Suppose that the national average for the math portion of the College Boards SAT is 515. The College Board periodically rescales the test scores such that the standard deviation is approximately 100. Answer the following questions using a bell-shaped distribution and the empirical rule for the math test scores. a. What percentage of students have an SAT math score greater than 615? b. What percentage of students have an SAT math score greater than 715? c. What percentage of students have an SAT math score between 415 and 515? d. What is the z-score for student with an SAT math score of 620? e. What is the z-score for a student with an SAT math score of 405?arrow_forwardStudies show that recognition programs are: Group of answer choices Most effective when they recognize between 10 to 20 percent of the sales force. Most effective when they recognize between 45 to 55 percent of the sales force. Never very effective in motivating reps. Most effective when they recognize between 60 to 70 percent of the sales force. Not effected by top management involvement.arrow_forwardThe Port Authority also wants to determine if the gender profile of its customers has changed since last year, when 59.4% of its orders placed were placed by males. The genders for a sample of 49,896 orders placed this year are collected and recorded in the file PortAuthority. a. Formulate hypotheses that can be used to test whether the proportion of orders placed by male customers this year differs from the proportion of orders placed by male customers placed last year. b. Use the data in the file PortAuthority to conduct your hypothesis test. What is the p value for your hypothesis test? At = 0.05, what is your conclusion?arrow_forward
- A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the tile MktHrsPts. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying? Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the sample values of total point earned does the model you estimated in part (b) explain? Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part (b) to predict the total points Mark earned.arrow_forwardIn a sampling application to determine the average weight of students enrolled in a fitnessclass, if the sample estimate is 120 pounds, the precision is 10 pounds, and the reliability is90 percent, which of the following statements is true?a. There is 10 percent likelihood that the average weight of a student in the class is morethan 130 pounds.b. There is 10 percent likelihood that the average weight of a student in the class is less than110 pounds.c. There is 90 percent likelihood that the average weight of a student in the class is less than110 pounds or more than 130 pounds.d. There is a 90 percent likelihood that the average weight of a student in the class is between110 and 130 pounds.arrow_forwardA sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and the following data were collected. a. Develop a scatter chart for these data. Does a linear relationship appear reasonable? Explain. b. Use the data to develop an estimated regression equation that could be used to predict the number of days absent given the distance to work. What is the estimated regression model? c. What is the 99% confidence interval for the regression parameter 1? Based on this interval, what conclusion can you make about the hypotheses that the regression parameter 1 is equal to zero? d. What is the 99% confidence interval for the regression parameter 0? Based on this interval, what conclusion can you make about the hypotheses that the regression parameter 0 is equal to zero? e. How much of the variation in the sample values of number of days absent does the model you estimated in part (b) explain?arrow_forward
- Essentials of Business Analytics (MindTap Course ...StatisticsISBN:9781305627734Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. AndersonPublisher:Cengage LearningPrinciples of Accounting Volume 2AccountingISBN:9781947172609Author:OpenStaxPublisher:OpenStax College